16 citations · 18 across the 4 of their papers we have counts for
4 papers
PTA-Det: Point Transformer Associating Point cloud and Image for 3D Object Detection
Rui Wan, Tianyun Zhao, Wei Zhao
In autonomous driving, 3D object detection based on multi-modal data has become an indispensable approach when facing complex environments around the vehicle. During multi-modal de…
From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion
Rui Wan, Shuangjie Xu, Wei Wu +2
LiDAR and cameras are two complementary sensors for 3D perception in autonomous driving. LiDAR point clouds have accurate spatial and geometry information, while RGB images provide…
Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic Segmentation
Shuangjie Xu, Rui Wan, Maosheng Ye +2
Two major challenges of 3D LiDAR Panoptic Segmentation (PS) are that point clouds of an object are surface-aggregated and thus hard to model the long-range dependency especially fo…
DRINet++: Efficient Voxel-as-point Point Cloud Segmentation
Maosheng Ye, Rui Wan, Shuangjie Xu +2
Recently, many approaches have been proposed through single or multiple representations to improve the performance of point cloud semantic segmentation. However, these works do not…